Upload dataset.py

dataset.py

@@ -0,0 +1,37 @@
+from datasets import DatasetInfo, Features, Value, Image, load_dataset_builder
+
+logger = None
+
+_CITATION = ""
+_DESCRIPTION = "FruitBench with CSV-based metadata."
+
+_HOMEPAGE = "https://huggingface.co/datasets/TJIET/FruitBench"
+
+_URL = "."
+
+class FruitBench:
+    def _info(self):
+        return DatasetInfo(
+            description=_DESCRIPTION,
+            features=Features({
+                "fruit_type": Value("string"),
+                "image_name": Value("string"),
+                "image": Image(),
+                "growth_stage": Value("string"),
+                "recommendation": Value("string"),
+                "consumer_score": Value("int32")
+            }),
+        )
+
+    def _split_generators(self, dl_manager):
+        data_file = "fruit_dataset.csv"
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_file}),
+        ]
+
+    def _generate_examples(self, filepath):
+        import csv
+        with open(filepath, encoding="utf-8") as f:
+            reader = csv.DictReader(f)
+            for i, row in enumerate(reader):
+                yield i, row